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Ever-changing conditions and emerging new challenges affect the ability of the healthcare sector to survive with the current system, and to maintain its processes effectively. In the healthcare sector, the conservation of the natural resources is being obstructed by insufficient infrastructure for managing residual waste resulting from single-use medical materials, increased energy use, and its environmental burden. In this context, circularity and sustainability concepts have become essential in healthcare to meliorate the sector’s negative impacts on the environment. The main aim of this study is to identify the barriers related to circular economy (CE) in the healthcare sector, apply big data analytics in healthcare, and provide solutions to these barriers. The contribution of this research is the detailed examination of the current healthcare literature about CE adaptation, and a proposal for a big data-enabled solutions framework to barriers to circularity, using fuzzy best-worst Method (BWM) and fuzzy VIKOR. Based on the findings, managerial, policy, and theoretical implementations are recommended to support sustainable development initiatives in the healthcare sector.
Yiğit Kazançoğlu; Muhittin Sağnak; Çisem Lafcı; Sunil Luthra; Anil Kumar; Caner Taçoğlu. Big Data-Enabled Solutions Framework to Overcoming the Barriers to Circular Economy Initiatives in Healthcare Sector. International Journal of Environmental Research and Public Health 2021, 18, 7513 .
AMA StyleYiğit Kazançoğlu, Muhittin Sağnak, Çisem Lafcı, Sunil Luthra, Anil Kumar, Caner Taçoğlu. Big Data-Enabled Solutions Framework to Overcoming the Barriers to Circular Economy Initiatives in Healthcare Sector. International Journal of Environmental Research and Public Health. 2021; 18 (14):7513.
Chicago/Turabian StyleYiğit Kazançoğlu; Muhittin Sağnak; Çisem Lafcı; Sunil Luthra; Anil Kumar; Caner Taçoğlu. 2021. "Big Data-Enabled Solutions Framework to Overcoming the Barriers to Circular Economy Initiatives in Healthcare Sector." International Journal of Environmental Research and Public Health 18, no. 14: 7513.
This paper aims to develop strategy and policy suggestions to increase the competitiveness of SMEs in the textile industry by analyzing the variables that affect competitiveness and contribute to competitiveness literature by adopting a holistic approach to the analysis of competitiveness variables. A hybrid model composed of Delphi and fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory) methods were used to gather and analyze the competitiveness variables. This led to the identification of the 15 most important of 73 competitiveness variables relevant to SME competitiveness in the textile industry. These variables were analysed and ranked, and their causal relationships were mapped. The results obtained from the model may function as a reference for SME managers aiming to increase their firm’s competitive power.
Caner Taçoğlu; Cemil Ceylan; Yiğit Kazançoğlu. ANALYSIS OF VARIABLES AFFECTING COMPETITIVENESS OF SMES IN THE TEXTILE INDUSTRY. Journal of Business Economics and Management 2019, 20, 648 -673.
AMA StyleCaner Taçoğlu, Cemil Ceylan, Yiğit Kazançoğlu. ANALYSIS OF VARIABLES AFFECTING COMPETITIVENESS OF SMES IN THE TEXTILE INDUSTRY. Journal of Business Economics and Management. 2019; 20 (4):648-673.
Chicago/Turabian StyleCaner Taçoğlu; Cemil Ceylan; Yiğit Kazançoğlu. 2019. "ANALYSIS OF VARIABLES AFFECTING COMPETITIVENESS OF SMES IN THE TEXTILE INDUSTRY." Journal of Business Economics and Management 20, no. 4: 648-673.
The objective of this study is to improve the efficiency of emergency departments (ED) by decreasing the overcrowding and patient waiting times. A hybrid methodology composed of a combination of lean techniques and discrete event simulation models was followed. Value stream mapping (VSM) was used as a lean technique with the aid of the ED staff. After obtaining the future state map of the ED, two discrete event simulation models were developed. By reviewing each triage process, the suggestions and proposed changes were incorporated into the future state map. There were five active process changes, each reducing lead and value added times by different amount. The usage of lean techniques can effectively reduce patient lead and value added times inside the ED, and when combined with discrete event simulation modeling, possible outcomes of the lean techniques can be tested and verified. This study contributed to the potential of lean techniques combined with simulation models in the case of reducing ED overcrowding and patient waiting times.
Alperen Bal; Cemil Ceylan; Caner Taçoğlu. Using value stream mapping and discrete event simulation to improve efficiency of emergency departments. International Journal of Healthcare Management 2016, 10, 196 -206.
AMA StyleAlperen Bal, Cemil Ceylan, Caner Taçoğlu. Using value stream mapping and discrete event simulation to improve efficiency of emergency departments. International Journal of Healthcare Management. 2016; 10 (3):196-206.
Chicago/Turabian StyleAlperen Bal; Cemil Ceylan; Caner Taçoğlu. 2016. "Using value stream mapping and discrete event simulation to improve efficiency of emergency departments." International Journal of Healthcare Management 10, no. 3: 196-206.